Samsung Ads · 11 hours ago
Machine Learning Intern
6555 Excellence Way, Plano, TX, USA
Internship
Onsite
Intern
0+ years expSamsung Electronics America, Inc. is a leader in mobile technologies and consumer electronics, and they are seeking a Machine Learning Intern for their Summer 2026 Intern Program. The intern will work under the guidance of senior engineers to analyze network elements and utilize data analysis skills to identify network infrastructure issues and build predictive models.
Marketing & Advertising
No H1B
Responsibilities
Recent graduate or 0-2 years of professional experience in Engineering, ability to work with large datasets using strong statistical methods
Work closely with the internal and external stakeholders to define 4G/5G KPI measurement methodologies and targets (KPI, KQI) for 4G/5G RAN product acceptance
Work closely with stakeholders to help build products that help utilize large amount of structured & unstructured data in analyzing network performance
Utilize A/B testing to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product evaluation
Leverage machine learning and statistical methodologies to extract patterns and hidden knowledge from data
Communicate key findings to stakeholders using visualizations and/or other suitable methods
Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions
Work with the team to proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products
Excellent verbal and written communication skills to communicate technical concepts, and complex in a easy-to-follow progression
Adapt to changes in a dynamic business environment and, support management initiatives
Qualification
Required
Eligible students will be seniors or recent graduates
Possess U.S. work authorization
Be able to work full-time on a 5-day-per-week on-site schedule
Participation in this program requires that you be located in the United States for the duration of the engagement
Recent graduate or 0-2 years of professional experience in Engineering, ability to work with large datasets using strong statistical methods
Excellent verbal and written communication skills to communicate technical concepts, and complex in a easy-to-follow progression
Adapt to changes in a dynamic business environment and, support management initiatives
Currently pursuing a MS/PhD in Computer Science, Statistics, Engineering, Applied Science, Economics
Programming experience: Python, Spark, R, SQL, Hive, JavaScript, Visual Basic, C++
Machine learning expertise: GLM Regression (Linear, Logit, Multinomial), Decision Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, Neural Network, Bayesian Regression, & Times Series
Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a Hadoop framework
Experience with Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical methodologies & significance testing, A/B testing
Strong interest in supporting consumer-facing functions for consumer products, retail, tech, or telecom industries
Self-starter. Self-motivated. Wanting to learn. Can work alone, as well as being a member of a team. Result-Driven person
Good verbal and written communication skills. Able to compile analysis output and findings into succinct story for technical and non-technical audiences
Excellent interpersonal and communication skills. Must be skilled in developing and maintaining good working relationships with all appropriate levels within and outside the company
Operate a computer keyboard and view a video display terminal more than 75% of work time in an office work environment
Frequently works additional hours beyond normal schedule
Performs work under time schedules and stresses which are normally periodic or cyclical and include time sensitive job stress, fatigue, unpaid over-time, intellectual challenge, constant technical data feedback, language barriers, and project management stress
Company
Samsung Ads
Samsung Ads helps consumers discover relevant content and brands across Smart TVs, mobile, and desktop.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Kimberly Lauterbach
Head Of Business Operations
Recent News
2025-12-16
2025-12-15
Company data provided by crunchbase